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NASA Scientific and Technical Aerospace Reports

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Mass Storage Systems <strong>and</strong> Technologies; April 2004, pp. 47-67; In English; See also 20040121020; No Copyright; Avail:<br />

CASI; A03, Hardcopy<br />

The longevity of many data formats is uncertain at best, <strong>and</strong> more often is disturbingly brief. Maintenance of backwards<br />

compatibility of proprietary formats is frustratingly limited. The physical media that store digital data are ephemeral. Even if<br />

the data are properly preserved, the information that allows the data to be searched <strong>and</strong> which maintains the context of the<br />

data is often lost, threatening data utility. These are only a few of the formidable problems that threaten the long-term<br />

preservation <strong>and</strong> long-term use of digital data. Over the past decade, much has been written about the problems of long-term<br />

digital preservation. Many approaches or strategies to address these problems have been proposed (see for example, <strong>and</strong> a<br />

number of prototypes <strong>and</strong> test beds have been implemented (see for example. No one has developed a comprehensive solution<br />

to these problems. In fact, there may not be a single solution. Most of the literature applies directly to the needs of libraries,<br />

museums, <strong>and</strong> records management organizations. Only rarely are issues related to preservation of science data discussed<br />

directly. Stewards of scientific data often face much different issues than the typical library, museum, or records archive. Some<br />

issues are simpler others more complex. In this paper, we provide a brief history of data stewardship, particularly science data<br />

stewardship, define long-term stewardship; <strong>and</strong> discuss some of the problems faced by data managers. We describe a broad<br />

array of data stewardship issues, but we will focus on those that are particularly amenable to technological solutions or that<br />

are exacerbated when archives are geographically distributed.<br />

Derived from text<br />

Digital Data; Records Management; Preserving<br />

20040121037 Permabit, Inc., Cambridge, MA, USA<br />

The Evolution of a Distributed Storage System<br />

Margolus, Norman; <strong>NASA</strong>/IEEE MSST 2004 Twelfth <strong>NASA</strong> Goddard Conference on Mass Storage Systems <strong>and</strong><br />

Technologies in cooperation with the Twenty-First IEEE Conference on Mass Storage Systems <strong>and</strong> Technologies; April 2004,<br />

pp. 447-451; In English; See also 20040121020; No Copyright; Avail: CASI; A01, Hardcopy<br />

Permabit is a software company that makes a storage clustering product called Permeon. Permeon grew out of the need<br />

to reconcile a vision of the future of globally distributed, secure, private <strong>and</strong> robust storage with near-term marketplace<br />

realities. This paper discusses the evolution of the ideas embodied in Permeon.<br />

Author<br />

Distributed Parameter Systems; Computer Programs; Data Storage<br />

20040121039 San Diego Supercomputer Center, La Jolla, CA, USA<br />

Preservation Environments<br />

Moore, Reagan W.; <strong>NASA</strong>/IEEE MSST 2004 Twelfth <strong>NASA</strong> Goddard Conference on Mass Storage Systems <strong>and</strong><br />

Technologies in cooperation with the Twenty-First IEEE Conference on Mass Storage Systems <strong>and</strong> Technologies; April 2004,<br />

pp. 79-92; In English; See also 20040121020<br />

Contract(s)/Grant(s): UCAR-S02-36645; DE-FC02-01ER-25486; NSF ACI-96-19020; No Copyright; Avail: CASI; A03,<br />

Hardcopy<br />

The long-term preservation of digital entities requires mechanisms to manage the authenticity of massive data collections<br />

that are written to archival storage systems. Preservation environments impose authenticity constraints <strong>and</strong> manage the<br />

evolution of the storage system technology by building infrastructure independent solutions. This seeming paradox, the need<br />

for large archives, while avoiding dependence upon vendor specific solutions, is resolved through use of data grid technology.<br />

Data grids provide the storage repository abstractions that make it possible to migrate collections between vendor specific<br />

products, while ensuring the authenticity of the archived data. Data grids provide the software infrastructure that interfaces<br />

vendor-specific storage archives to preservation environments.<br />

Author<br />

Data Bases; Preserving; Computer Programs<br />

20040121088 <strong>NASA</strong> Langley Research Center, Hampton, VA, USA<br />

Factors That Affect Software Testability<br />

Voas, Jeffrey M.; [1991]; 13 pp.; In English; No Copyright; Avail: CASI; A03, Hardcopy<br />

Software faults that infrequently affect software’s output are dangerous. When a software fault causes frequent software<br />

failures, testing is likely to reveal the fault before the software is releases; when the fault remains undetected during testing,<br />

it can cause disaster after the software is installed. A technique for predicting whether a particular piece of software is likely<br />

247

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